ChillsDB: A Gold Standard for Aesthetic Chills Stimuli

Felix Schoeller, Abhinandan Jain, Adam Haar Horowitz, Grace Yan, Xiaoxiao Hu, Pattie Maes, Roy Salomon

Research output: Contribution to journalArticlepeer-review


We introduce ChillsDB the first validated database of audiovisual stimuli eliciting aesthetic chills (goosebumps, psychogenic shivers) in a US population. To discover chills stimuli "in the wild", we devised a bottom-up, ecologically-valid method consisting in searching for mentions of the emotion' somatic markers in user comments throughout social media platforms (YouTube and Reddit). We successfully captured 204 chills-eliciting videos of three categories: music, film, and speech. We then tested the top 50 videos in the database on 600+ participants and validated a gold standard of 10 stimuli with a 0.9 probability of generating chills. All ChillsDB tools and data are fully available on GitHub for researchers to be able to contribute and perform further analysis.

Original languageEnglish
Pages (from-to)307
Number of pages1
JournalScientific data
Issue number1
StatePublished - 20 May 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023. The Author(s).

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences


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